Iris Biometrics From Segmentation to Template Security /

• Main Authors: Rathgeb, Christian. (Author), Uhl, Andreas. (Author), Wild, Peter. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic
• Language: English
• Published: New York, NY : Springer New York : Imprint: Springer, 2013.
• Series: Advances in Information Security, 59
• Subjects: Computer science.; Data protection.; Optical pattern recognition.; Biometrics.; Computer Science.; Pattern Recognition.; Systems and Data Security.
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-1-4614-5571-4
• Physical Description: XXII, 358 p. 177 illus. online resource.
• ISBN: 9781461455714
• ISSN: 1568-2633

Iris Biometrics: From Segmentation to Template Security provides critical analysis, challenges and solutions on recent iris biometric research topics, including image segmentation, image compression, watermarking, advanced comparators, template protection and more. Open source software is also provided on a dedicated website which includes feature extraction, segmentation and matching schemes applied in this book to foster scientific exchange. Current state-of-the-art approaches accompanied by comprehensive experimental evaluations are presented as well. This book has been designed as a secondary text book or reference for researchers and advanced-level students in computer science and electrical engineering. Professionals working in this related field will also find this book useful as a reference.